DarwinX is not a public agent. It is built and customized for banks, governments, Tunisian taxpayers, auditors, and security engineers.
The kernel · defined

One goal, one purpose

The goal

To give banks eyes - a dedicated, OWL-driven agentic system whose top layer is governance and security. DarwinX is not a chatbot bolted onto a bank; it is a governed kernel that watches, reconciles, and guards, and reports what it sees.

The purpose

Every agent explicitly serves this system. Security sits at the top layer by design, because a bank grants trust only to what it can see, prove, and stop. Governance first, capability second.

Architecture

Native LLM · no middleware · enterprise-grade

One loop - think, act, observe, ship - over governed tools. No middleware between the model and its intent. Each skill is a specialised feed-forward path: the context enters as a schema, flows forward through the skill, and produces a governed action. Nothing hidden, nothing improvised.

Skills in (schema)Feed-forwardGovernedAction out
Reliability

Deterministic agents - it evolves, it does not hallucinate

Balanced

Thinking & temperature on demand

Reasoning depth and temperature are dialled per task - deterministic where a bank needs certainty, exploratory only where it is safe.

Stable

KV-cache · byte-stable prefix

A byte-stable prompt prefix keeps the KV-cache warm: same context, same behaviour, lower cost, no drift between turns.

Grounded

Schema-typed feed-forward context

Context is passed forward as a typed schema, not free text. The agent reasons on facts; it evolves with time instead of hallucinating.

Daily bank operations

What the agent does, every day

↺

Reconciliation

Daily and end-of-day reconciliation across systems - discrepancies found, explained, escalated. Zero silent breaks.

⇉

Data distribution

One governed source of truth distributed to risk, reporting and BI - real-time, de-duplicated, audited.

⚠

Risk identification

Continuous scoring and anomaly detection on flows and positions - risk seen before it becomes loss.

🛡

Security checks · police-guard

A standing guard over DOMs, apps and network: every reach intercepted, validated, and logged. The police layer that never sleeps.

Human-in-the-loop · the deepest skill

End-to-end, on your authorized browser - under your control

DarwinX executes real tasks end to end inside a local authorized browser. It asks for validation on anything sensitive, and works freely only where it is safe. You may grant it sign-on / SSO so it can complete agentic tasks in full flow - always inside governed guards and a full audit.

Authorized browser. The agent acts inside your own logged-in session - never a hidden headless clone.
Validation on sensitive acts. Human-in-the-loop confirms before anything irreversible (payments, sign-offs).
SSO / sign-on, granted by you. You may let the agent sign on to complete an end-to-end task; every step is scoped and recorded.
Freedom where safe. On low-risk, reversible work the agent runs in full autonomy - speed without exposure.
Two swarms · offence and defence

Attack your own gaps · then close them

DarwinX tests a bank the way nature tests a colony - and both are authorized, on your own systems.

🦇 Bat agents · authorized red-team

10,000 agents, in separation

Distribute up to 10,000 agents against one model of your system, each working in isolation. Separation is the point: independent probes surface gaps, open ports and blind spots that a single scan would miss. This runs only on your own infrastructure, with your permission.

🐜 Ant swarm · defence

Cooperative, no separation

The defenders work the reverse way - together, without separation. A weak signal seen by one is shared with all in seconds, like ants converging on a threat. Solidarity, not isolation, is what provides security.

Governed evolution. The whole workflow - offence, defence, and every skill between - is evolved and planned by domain experts, bounded by the ontology. DarwinX improves with time; it never drifts outside the rules a banker set.